The phrase 'a modeling tool' is correct and usable in written English.
You can use the phrase to refer to a tool or software used to create a model or simulation of something. For example, "We used a modeling tool to simulate the economic impact of different policies."
These include a special reactions database, a modeling tool plus a model library, a solvent-swap tool, solid solubility prediction tool, simulation engine, and many more.
In this paper an interface was developed to link soil, climate and agricultural activity data in Canada with the DeNitrification and DeComposition (DNDC) model to create a modeling tool for estimating emission factors for changes in agricultural management.
NON-linear mixed-effect modeling (NONMEM 1) is a modeling tool that pharmacometricians use in population pharmacokinetics and pharmacodynamics analysis.
This paper explores the bond graph technique as a modeling tool to generate state space models or non-linear models together with software tools.
This model will serve as a modeling tool for the design of more complicated SMP-based structures and devices.
Our study illustrates versatility of pair hidden Markov models coupled with appropriate decoding criteria as a modeling tool for capturing complex sequence features.
The Model Builder provides a visual modeling tool for designing arbitrary compartmental models, ranging from simple SIR models to complex compartmentalization in which multiple interventions can be considered along with disease-associated complications and other effects.
Details are particularly provided on the development of a conceptual modeling tool, an important element of the envisaged tool set for CAMM.
Paris, C. B., Helgers, J., Van Sebille, E. & Srinivasan, A. Connectivity Modeling System: A probabilistic modeling tool for the multi scale tracking of biotic and abiotic variability in the ocean.
Paris, C. B., Helgers, J., van Sebille, E. & Srinivasan, A. Connectivity modeling system: a probabilistic modeling tool for the multi-scale tracking of biotic and abiotic variability in the ocean.
The ordinal regression model is a preferable modeling tool that does not assume normality and constant variance but requires the assumption of parallel lines across all levels of the categorical outcome variable [ 23].
